English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Evolution of the size distribution of oil droplets on a water surface: Setup, image processing, and scaling laws

de Maeyer, J. (2015). Evolution of the size distribution of oil droplets on a water surface: Setup, image processing, and scaling laws. Master Thesis, Georg-August-Universität, Göttingen.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-C311-4 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-E37A-2
Genre: Thesis

Files

show Files
hide Files
:
2015_master_thesis_jacob_de_maeyer.pdf (Publisher version), 8MB
Name:
2015_master_thesis_jacob_de_maeyer.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
de Maeyer, Jakob1, Author              
Affiliations:
1Group Principles of Self Organisation, Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063312              

Content

show
hide
Free keywords: -
 Abstract: In this thesis, I describe my work towards a novel experiment to study the dynamics of oil droplets on water. It allows following the evolution of the droplet size distribution during a coalescence process with superb statistics. Every experiment run involves more than 20,000 initial droplets coalescing into a few hundred within four to six hours, with droplet sizes ranging from 0.01 cm2 to 1,000 cm2. Data acquisition is built around an LED light source and a shadow image method that exploits the oil droplets’ optical properties. Images of the droplet configuration are taken with a consumer-level DSLR camera and processed with circle detection and morphological methods. I have developed two open-source software frameworks: one facilitates camera remote control at higher frame rates than available in existing software solutions, the other one simplifies the task of batch image processing. The coalescing oil droplets reveal an uncommon characteristic: As the system evolves, the distribution of droplet sizes becomes bimodal. By dividing the droplets into a group of small and a group of large droplets, we are able to identify three regimes in the coalescence process. We introduce a mathematical model in which the distribution decomposes into a superposition of a steady distribution of small droplets and a scaling distribution of larger droplets.

Details

show
hide
Language(s): eng - English
 Dates: 2015-09-30
 Publication Status: Accepted / In Press
 Pages: X, 93
 Publishing info: Göttingen : Georg-August-Universität
 Table of Contents: -
 Rev. Method: -
 Identifiers: -
 Degree: Master

Event

show

Legal Case

show

Project information

show

Source

show